Learning OpenCV (豆瓣)

作者: Gary Bradski / Adrian Kaehler / Bradski Gary / Kaehler Adrian

副标题: Computer Vision with the OpenCV Library
ISBN: 9780596516130
页数: 575
定价: USD 49.99
出版社: O'Reilly Media
装帧: Paperback
出版年: 2008-09-24

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　　Description
　　Learning OpenCV puts you right in the middle of the rapidly expanding field of computer vision. Written by the creators of OpenCV, the widely used free open-source library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on the data. With this book, any develo... (展开全部) 　　Description
　　Learning OpenCV puts you right in the middle of the rapidly expanding field of computer vision. Written by the creators of OpenCV, the widely used free open-source library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on the data. With this book, any developer or hobbyist can get up and running with the framework quickly, whether it's to build simple or sophisticated vision applications.
　　Full Description
　　Learning OpenCV puts you right in the middle of the rapidly expanding field of computer vision. Written by the creators of OpenCV, the widely used free open-source library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on the data.
　　Computer vision is everywhere -- in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. It helps robot cars drive by themselves, stitches Google maps and Google Earth together, checks the pixels on your laptop's LCD screen, and makes sure the stitches in your shirt are OK.
　　OpenCV provides an easy-to-use computer vision infrastructure along with a comprehensive library containing more than 500 functions that can run vision code in real time. With Learning OpenCV, any developer or hobbyist can get up and running with the framework quickly, whether it's to build simple or sophisticated vision applications.
　　The book includes:
　　* A thorough introduction to OpenCV
　　* Getting input from cameras
　　* Transforming images
　　* Shape matching
　　* Pattern recognition, including face detection
　　* Segmenting images
　　* Tracking and motion in 2 and 3 dimensions
　　* Machine learning algorithms
　　Hands-on exercises at the end of each chapter help you absorb the concepts, and an appendix explains how to set up an OpenCV project in Visual Studio. OpenCV is written in performance optimized C/C++ code, runs on Windows, Linux, and Mac OS X, and is free for commercial and research use under a BSD license.
　　Getting machines to see is a challenging but entertaining goal. If you're intrigued by the possibilities, Learning OpenCV gets you started on building computer vision applications of your own.　　

豆瓣成员常用的标签(共16个) · · · · · ·

计算机视觉(14) OpenCV(7) ComputerVision(5) 计算机(3) 编程(3) 机器视觉(3) 计算机科学与技术(1) 科学(1)

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下不到这本书的在这里留下邮箱。	来自身中数枪不死	4 回应	2009-12-02
东南大学出版社出了影印版	来自Z.L.	6 回应	2009-10-20
书中代码的下载地址	来自vinjn		2009-09-23
pdf下载地址	来自vinjn	2 回应	2009-05-27
封面错了	来自blueBird	1 回应	2009-02-14